CN111445184A - Logistics transportation supervisory systems based on big data - Google Patents

Logistics transportation supervisory systems based on big data Download PDF

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Publication number
CN111445184A
CN111445184A CN202010219027.5A CN202010219027A CN111445184A CN 111445184 A CN111445184 A CN 111445184A CN 202010219027 A CN202010219027 A CN 202010219027A CN 111445184 A CN111445184 A CN 111445184A
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information
vehicle
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verification
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陈彩凤
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Nanning College for Vocational Technology
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Nanning College for Vocational Technology
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    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
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    • G06Q10/0833Tracking

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Abstract

The invention discloses a logistics transportation supervision system based on big data, belonging to the technical field of logistics and comprising a vehicle positioning module, a cargo scanning module, a logistics database, a journey verification module, a data updating module and a management server; the journey verification module is used for sending the journey information of the vehicle information, the driving route and the real-time positioning information of the transport vehicle and a request for verifying the journey information to a traffic supervision system, verifying the journey of the transport vehicle and receiving a journey information verification result. The monitoring system adopts a cargo scanning module and a vehicle positioning module to realize automatic acquisition of information of cargos and monitoring of logistics transportation among logistics outlets; the vehicle travel information is verified by the travel verification module based on the big data of the vehicle information of the logistics database and the traffic supervision system, so that a client can know the current position of the goods accurately, and the possibility of counterfeiting of the transportation logistics data is effectively reduced.

Description

Logistics transportation supervisory systems based on big data
Technical Field
The invention relates to a managed data processing system, in particular to a logistics transportation supervision system based on big data, belonging to the technical field of logistics.
Background
Logistics is a process of organically combining functions such as transportation, storage, loading, unloading, transportation, packaging, distribution, information processing and the like according to actual needs to meet user requirements in the process of physically flowing articles from a supply place to a receiving place. Logistics is a system for controlling the movement of raw materials, finished products and information from supply to the end consumer via the transfer and possession of various intermediate links, thereby achieving the clear goal of organization. Modern logistics is a product of economic globalization and is also an important service industry for promoting economic globalization.
Modern logistics is generally considered to consist of links of transportation, storage, packaging, handling, distribution processing, distribution and information. Each link originally has respective function, benefit and concept, the modern management method and the modern technology are utilized to enable each link to share overall information, and all the links are organized and managed as an integrated system, so that the system can provide client service with competitive advantages under the condition of the lowest total cost.
For example, in a logistics park intelligent logistics management system (CN202584205) based on cloud computing and internet of things technology, a field sensing layer is a plurality of RFID chips and RFID reading devices, and a plurality of RFIDs are respectively disposed on different commodities, warehouses and transportation vehicles; the IP network layer is a wireless network; the system application unit is composed of a plurality of computers and a plurality of servers, and the system application unit collects information of different commodities, warehouses and transportation tools through the IP network unit. The logistics park intelligent logistics management system based on the cloud computing and the internet of things technology is constructed on the logistics network and the cloud computing technology, can support whole-process dynamic tracking of logistics resources and related articles, achieves timely information intelligent classification pushing service, is beneficial to improving sharing efficiency of software and hardware information resources of a logistics park, remarkably reduces park information investment cost, and enhances integration of park social logistics resources.
For another example, a logistics real-time query system (CN207097048U) based on GPS positioning and big data analysis technology mainly includes three modules: the system comprises a GPS data acquisition module, a GPS data processing module and a terminal module. The GPS data acquisition module firstly identifies the received coordinate information and the vehicle label, authenticates the vehicle, then verifies whether the license plate number is correct, whether the GPS coordinate is complete and whether the time is wrong, and if the time is wrong, sends the wrong vehicle information to the terminal module, and the terminal module contacts the truck owner; after receiving correct vehicle information, the GPS data processing module receives GPS coordinate time and GPS longitude and latitude formats and stores the GPS coordinate time and the GPS longitude and latitude formats in a local hard disk database according to vehicle numbers; after GPS coordinates and time are stored in a local hard disk, data interaction occurs between the GPS coordinates and a positioning and tracking module, between a track recording module and a predicted route module at any moment, and the three modules need to acquire coordinate information from a database in real time; the vehicle information in the database can be called in real time through the positioning and tracking module, and the current vehicle license plate number, the vehicle position and the uploading position time are transmitted to the terminal module according to formats; the track recording module can record the current moving route of the truck in real time according to the coordinates uploaded by the GPS module, and draws the route and transmits the route to the terminal module; the method comprises the steps that a route predicting module is used for calculating according to coordinates uploaded by a GPS (global positioning system) within a long time, judging whether a truck moves to a destination or not, recommending the truck owner to select the most convenient moving path according to the real-time road congestion condition, playing a role of monitoring the truck owner in real time, and giving an alarm to a manager when the truck is judged to be farther away from the destination within the long time; the terminal module can display a comprehensive interface mainly based on a display screen, the main content of the comprehensive interface comprises the running track and the position of the current vehicle, and the running track of a single vehicle can be checked, so that the comprehensive display control platform is a comprehensive display control platform.
As described above, the existing logistics management system can monitor the position of the transportation vehicle and the current environmental conditions by using technologies such as big data, internet of things, GPS positioning, and the like, and provide necessary remote information services for the transportation vehicle, so as to perform safer and better scheduling in combination with the whole transportation vehicle. However, these logistics management systems are generally not open to customers, especially to long-distance transportation data among logistics outlets, and are generally internal supervision of logistics transportation subjects themselves, especially global business, and in order to reduce transportation cost, the travel data of related logistics transportation is likely to be counterfeited.
Disclosure of Invention
The invention aims to solve the problems and provide a logistics transportation supervision system based on big data, which can verify the journey of a transportation vehicle.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a logistics transportation supervision system based on big data comprises a vehicle positioning module, a cargo scanning module, a logistics database, a journey verification module, a data updating module and a management server; the management server is respectively connected with the vehicle positioning module, the cargo scanning module, the data updating module, the logistics database and the travel verification module;
the vehicle positioning module is configured on the transport vehicle and used for positioning the cargo transport vehicle in real time and sending the real-time positioning information of the transport vehicle to the management server;
the goods scanning module is configured at each logistics network point and used for creating transportation vehicle information during delivery, scanning and counting logistics orders of goods to be transported through the transportation vehicle, scanning logistics orders received by each logistics network point and sending the scanned logistics orders and the transportation vehicle information corresponding to each logistics order to the management server;
the logistics database is used for storing path information among the logistics nodes, and the path information comprises positions of the logistics nodes, distances between adjacent logistics nodes, logistics nodes passing from one logistics node to another logistics node, the number of the logistics nodes and driving routes of transport vehicles;
the journey verification module is used for sending the vehicle information of the transport vehicle, the journey information of the driving route and the real-time positioning information and a request for verifying the journey information to a traffic supervision system, verifying the journey of the transport vehicle and receiving a journey information verification result;
the data updating module is respectively responsive to the vehicle positioning module, the goods scanning module and the travel verification module, correspondingly updates the position information and the travel verification result of each goods logistics order on the transport vehicle, and updates the logistics network information of the goods logistics order;
the management server is used for receiving the information of the transport vehicle and the goods logistics order corresponding to the transport vehicle, screening the driving route of the transport vehicle, receiving the real-time positioning information of the transport vehicle, updating the information of the goods logistics order through the data updating module, verifying the travel of the transport vehicle through the travel verification module and receiving the verification result.
As an option, the system further comprises a client terminal connected with the management server, wherein the client terminal is used for sending a query request of the goods logistics order, receiving the predicted time sent by the management server from the delivery logistics network to the delivery logistics network, receiving the current position information of the goods logistics order sent by the management server, and displaying the predicted time and the current position information. In this way, the customer can look up the position information of the goods logistics order from the customer terminal.
Preferably, the client terminal is further configured to send a request for verifying a journey of the goods logistics order, receive a journey verification result sent by the management server, and display the journey verification result. In this way, by the client issuing the request, the authentication information can be referred from the client terminal, and at the same time, the excessive amount of information displayed when the order initial information is displayed is avoided.
As an option, the traffic supervision system comprises vehicle identification modules and a traffic supervision server, wherein the vehicle identification modules are configured on a public route and used for identifying vehicle information passing through the vehicle identification modules; the traffic supervision server receives and stores the vehicle information identified by each vehicle identification module and the passing time point thereof, receives the travel information and the verification request sent by the travel verification module, and then compares and returns the travel information verification result. The vehicle information can be license plate numbers, the passing vehicles are identified based on a license plate number identification module such as a high-speed entrance and exit, a payment system and the like, license plate numbers and time points are recorded and stored, and then the license plate numbers and the time points are sent to a traffic supervision server to form a vehicle information database, so that the vehicle information database is compared and analyzed after receiving a verification request, a verification result is returned, and the purpose of verifying the vehicle travel is achieved.
As an option, the traffic supervision server verifies by: the traffic supervision server respectively stores the vehicle information of each vehicle identification module and the passing time point thereof to form a vehicle information table in sequence of the time points, after receiving the verification request, at least two vehicle identification modules on the driving route of the transport vehicle are selected, and according to the vehicle information of the transport vehicle and the time period of passing the vehicle identification modules, the travel information verification result is searched, compared and returned in the vehicle information table. Therefore, the recognized data is converted into the format of texts and tables, so that the pressure of data transmission and storage is reduced.
Due to the adoption of the technical scheme, the invention has the following beneficial effects:
1. the logistics transportation supervision system based on big data is provided with a vehicle positioning module, a cargo scanning module, a logistics database, a travel verification module, a data updating module and a management server, and realizes automatic information acquisition of cargos and logistics transportation monitoring among logistics outlets by adopting the cargo scanning module and the vehicle positioning module; the vehicle travel information is verified by the travel verification module based on the big data of the vehicle information of the logistics database and the traffic supervision system, so that a client can know the current position of the goods accurately, and the possibility of counterfeiting of the transportation logistics data is effectively reduced.
2. The logistics transportation supervision system based on the big data can identify passing vehicles based on a license plate number identification module such as a high-speed entrance and exit, a payment system and the like, record and store license plate numbers and time points, and then send the license plate numbers and the time points to a traffic supervision server to form a vehicle information database, so that a verification request is received and then compared and analyzed, a verification result is returned, and the purpose of verifying the vehicle journey is achieved. And the identified data can be converted into the format of texts and tables, so that the pressure of data transmission and storage is reduced.
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FIG. 1 is a system block diagram of the present invention.
Fig. 2 is a schematic diagram of a driving route of the invention.
Detailed Description
The following further describes the embodiments of the present invention with reference to the drawings.
As shown in fig. 1, a logistics transportation supervision system based on big data comprises a vehicle positioning module, a cargo scanning module, a logistics database, a journey verification module, a data updating module and a management server; the management server is respectively connected with the vehicle positioning module, the cargo scanning module, the data updating module, the logistics database and the travel verification module;
the vehicle positioning module is configured on the transport vehicle and used for positioning the cargo transport vehicle in real time and sending the real-time positioning information of the transport vehicle to the management server;
the goods scanning module is configured at each logistics network point and used for creating transportation vehicle information during delivery, scanning and counting logistics orders of goods to be transported through the transportation vehicle, scanning logistics orders received by each logistics network point and sending the scanned logistics orders and the transportation vehicle information corresponding to each logistics order to the management server;
the logistics database is used for storing path information among the logistics nodes, and the path information comprises positions of the logistics nodes, distances between adjacent logistics nodes, logistics nodes passing from one logistics node to another logistics node, the number of the logistics nodes and driving routes of transport vehicles;
the journey verification module is used for sending the vehicle information of the transport vehicle, the journey information of the driving route and the real-time positioning information and a request for verifying the journey information to a traffic supervision system, verifying the journey of the transport vehicle and receiving a journey information verification result;
the data updating module is respectively responsive to the vehicle positioning module, the goods scanning module and the travel verification module, correspondingly updates the position information and the travel verification result of each goods logistics order on the transport vehicle, and updates the logistics network information of the goods logistics order;
the management server is used for receiving the information of the transport vehicle and the goods logistics order corresponding to the transport vehicle, screening the driving route of the transport vehicle, receiving the real-time positioning information of the transport vehicle, updating the information of the goods logistics order through the data updating module, verifying the travel of the transport vehicle through the travel verification module and receiving the verification result.
The vehicle positioning module comprises a controller, a GPS (global positioning system), a 3g/4g/5g communication module, a control system and the like, wherein the GPS, the 3g/4g/5g communication module, the control system and the like are connected with the controller, various sensors such as temperature and humidity can be configured, and the current environment condition of the vehicle can be monitored by using the technology of the Internet of things. The goods scanning module comprises a scanning gun consisting of a processor, a scanner and the like, realizes scanning and identification of the logistics order based on technologies such as bar codes and two-dimensional codes, and can also automatically identify, load and unload goods by using the technology of the Internet of things. These can be implemented based on the prior art such as the internet of things, and will not be described again here.
As mentioned above, the logistics transportation supervision system is configured with a vehicle positioning module, a cargo scanning module, a logistics database, a trip verification module, a data updating module and a management server, and realizes automatic acquisition of cargo information and logistics transportation monitoring between logistics outlets by adopting the cargo scanning module and the vehicle positioning module; the vehicle travel information is verified by the travel verification module based on the big data of the vehicle information of the logistics database and the traffic supervision system, so that a client can know the current position of the goods accurately, and the possibility of counterfeiting of the transportation logistics data is effectively reduced.
As an option, in an example, the system further includes a client terminal connected to the management server, where the client terminal is configured to send a query request for the logistics order of the goods, receive an estimated time from the logistics site for delivery to the logistics site for delivery sent by the management server, and receive current location information of the logistics order of the goods sent by the management server, and display the estimated time and the current location information. In this way, the customer can look up the position information of the goods logistics order from the customer terminal.
Preferably, the client terminal is further configured to send a request for verifying a journey of the goods logistics order, receive a journey verification result sent by the management server, and display the journey verification result. In this way, by the client issuing the request, the authentication information can be referred from the client terminal, and at the same time, the excessive amount of information displayed when the order initial information is displayed is avoided.
As an option, in one example, the traffic supervision system comprises vehicle identification modules configured on a public route and a traffic supervision server, wherein the vehicle identification modules are used for identifying vehicle information passing through the vehicle identification modules; the traffic supervision server receives and stores the vehicle information identified by each vehicle identification module and the passing time point thereof, receives the travel information and the verification request sent by the travel verification module, and then compares and returns the travel information verification result. The vehicle information can be license plate numbers, the passing vehicles are identified based on a license plate number identification module such as a high-speed entrance and exit, a payment system and the like, license plate numbers and time points are recorded and stored, and then the license plate numbers and the time points are sent to a traffic supervision server to form a vehicle information database, so that the vehicle information database is compared and analyzed after receiving a verification request, a verification result is returned, and the purpose of verifying the vehicle travel is achieved. The identification and shooting of the license plate number based on the camera is the prior art and is not described here.
As an option, in one example, the traffic supervision server verifies by: the traffic supervision server respectively stores the vehicle information of each vehicle identification module and the passing time point thereof to form a vehicle information table in sequence of the time points, after receiving the verification request, at least two vehicle identification modules on the driving route of the transport vehicle are selected, and according to the vehicle information of the transport vehicle and the time period of passing the vehicle identification modules, the travel information verification result is searched, compared and returned in the vehicle information table.
Referring to fig. 2, it is assumed that 4 vehicle identification modules (vehicle identification modules 1 to 4) exist on a route from a logistics site 1 to a logistics site 2, and at this time, one or more than two vehicle identification modules may be randomly selected, such as selecting the vehicle identification module 1, further selecting the vehicle identification modules 1 and 3, further selecting the vehicle identification modules 1, 3 and 4, and then performing verification according to data thereof, and in order to improve accuracy, preferably performing verification based on data of the two or more than two vehicle identification modules.
Therefore, the recognized data is converted into the format of texts and tables, so that the pressure of data transmission and storage is reduced. Of course, it is also possible to take and store a picture including the license plate number as raw data for later verification.
The foregoing description is directed to the details of preferred and exemplary embodiments of the invention, and not to the limitations defined thereby, which are intended to cover all modifications and equivalents of the invention as may come within the spirit and scope of the invention.

Claims (5)

1. The utility model provides a commodity circulation transportation supervisory systems based on big data which characterized in that: the system comprises a vehicle positioning module, a cargo scanning module, a logistics database, a journey verification module, a data updating module and a management server; the management server is respectively connected with the vehicle positioning module, the cargo scanning module, the data updating module, the logistics database and the travel verification module;
the vehicle positioning module is configured on the transport vehicle and used for positioning the cargo transport vehicle in real time and sending the real-time positioning information of the transport vehicle to the management server;
the goods scanning module is configured at each logistics network point and used for creating transportation vehicle information during delivery, scanning and counting logistics orders of goods to be transported through the transportation vehicle, scanning logistics orders received by each logistics network point and sending the scanned logistics orders and the transportation vehicle information corresponding to each logistics order to the management server;
the logistics database is used for storing path information among the logistics nodes, and the path information comprises positions of the logistics nodes, distances between adjacent logistics nodes, logistics nodes passing from one logistics node to another logistics node, the number of the logistics nodes and driving routes of transport vehicles;
the journey verification module is used for sending the vehicle information of the transport vehicle, the journey information of the driving route and the real-time positioning information and a request for verifying the journey information to a traffic supervision system, verifying the journey of the transport vehicle and receiving a journey information verification result;
the data updating module is respectively responsive to the vehicle positioning module, the goods scanning module and the travel verification module, correspondingly updates the position information and the travel verification result of each goods logistics order on the transport vehicle, and updates the logistics network information of the goods logistics order;
the management server is used for receiving the information of the transport vehicle and the goods logistics order corresponding to the transport vehicle, screening the driving route of the transport vehicle, receiving the real-time positioning information of the transport vehicle, updating the information of the goods logistics order through the data updating module, verifying the travel of the transport vehicle through the travel verification module and receiving the verification result.
2. The logistics transportation supervision system based on big data as claimed in claim 1, wherein: the system also comprises a client terminal connected with the management server, wherein the client terminal is used for sending a query request of the goods logistics order, receiving the predicted time from the logistics network for delivery to the logistics network for receiving the delivery sent by the management server, receiving the current position information of the goods logistics order sent by the management server, and displaying the predicted time and the current position information.
3. The logistics transportation supervision system based on big data as claimed in claim 2, wherein: the client terminal is further used for sending a stroke verification request for the goods logistics order, receiving a stroke verification result sent by the management server and displaying the stroke verification result.
4. The logistics transportation supervision system based on big data as claimed in claim 1, wherein: the traffic supervision system comprises vehicle identification modules and a traffic supervision server, wherein the vehicle identification modules are configured on a public route and used for identifying vehicle information passing through the vehicle identification modules; the traffic supervision server receives and stores the vehicle information identified by each vehicle identification module and the passing time point thereof, receives the travel information and the verification request sent by the travel verification module, compares the travel information and the verification request and returns a travel information verification result.
5. The logistics transportation supervision system based on big data as claimed in claim 4, wherein: the traffic supervision server respectively stores the vehicle information of each vehicle identification module and the passing time point thereof to form a vehicle information table in sequence of time points, after receiving the verification request, at least two vehicle identification modules on the driving route of the transport vehicle are selected, and according to the vehicle information of the transport vehicle and the time period of passing the vehicle identification modules, the vehicle information table is searched, compared and a stroke information verification result is returned.
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CN115841290A (en) * 2022-09-07 2023-03-24 广州市综合交通枢纽有限公司 Railway logistics whole-course management and control system based on Internet of things

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